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The Model for End-Stage Liver Disease, or MELD, is a scoring system for assessing the severity of chronic liver disease.It was initially developed to predict mortality within three months of surgery in patients who had undergone a transjugular intrahepatic portosystemic shunt (TIPS) procedure, [1] and was subsequently found to be useful in determining prognosis and prioritizing for receipt of ...
MELD-Plus is a risk score to assess severity of chronic liver disease that was resulted from a collaboration between Massachusetts General Hospital and IBM. [1] The score includes nine variables as effective predictors for 90-day mortality after a discharge from a cirrhosis-related admission. The variables include all Model for End-Stage Liver ...
MELD-Plus is a further risk score to assess severity of chronic liver disease. It was developed in 2017 as a result of a collaboration between Massachusetts General Hospital and IBM . [ 103 ] Nine variables were identified as effective predictors for 90-day mortality after a discharge from a cirrhosis-related hospital admission. [ 103 ]
The United Kingdom Model for End-Stage Liver Disease or UKELD is a medical scoring system used to predict the prognosis of patients with chronic liver disease. It is used in the United Kingdom to help determine the need for liver transplantation. [1] It was developed from the MELD score, incorporating the serum sodium level.
The Model for End-Stage Liver Disease (MELD) score has also been found to have similar predictive accuracy in 30-day (MELD > 11) and 90-day (MELD > 21) mortality. Liver cirrhosis develops in 6–14% of those who consume more than 60–80 g of alcohol daily for men and more than 20 g daily for women.
Child–Pugh score. In medicine, specifically gastroenterology, the Child–Pugh score (or the Child–Turcotte–Pugh (CTP) score or Child Criteria) is used to assess the prognosis of chronic liver disease, mainly cirrhosis. Although it was originally used to predict mortality during surgery, it is now used to determine the prognosis, as well ...
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